Jul 03, 2023 to Jul 07, 2023
(Europe/Berlin / UTC200)


Villa Grumello, Como Lake, Italy

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The objective of the summer school is to create a community of young scholars from a broad range of disciplines (climate, ecology, economy, energy, political science) actively working on modelling human activities and the earth system in an integrated framework commonly referred to as Integrated Assessment Modeling.

Structure of the week

  • 8 lectures about IAMs, including an introductory presentation on IAMs and their role as input to global stock stake and policy analysis.
  • Interactive poster sessions where the student will be invited to present their work.
  • Hands-on session on the IAMs scenarios (data analysis and visualization).
  • Group work on model development/analysis.

Lecture topics

  • Opening lecture on IAM history and role in Climate Negotiation
  • Macroeconomics
  • Energy Systems
  • Modelling SDGs
  • Social Sciences
  • Uncertainty
  • Scenarios retrieval, analysis, and visualization

Faculty (Provisional list)

Nico BAUER, Potsdam Institute for Climate Impact Research (PIK)
Valentina BOSETTI, Bocconi University and RFF-CMCC European Institute on Economics and the Environment (EIEE), CMCC
Celine GUIVARCH, International Center for Development and Environment (CIRED)
Daniel HUPPMANN, International Institute for Applied Systems Analysis (IIASA)
Keywan RIAHI, International Institute for Applied Systems Analysis (IIASA)
Roberto SCHAEFFER, Federal University of Rio de Janeiro (UFRJ)
Massimo TAVONI, Polytechnic University of Milan and RFF-CMCC European Institute on Economics and the Environment (EIEE), CMCC
Zoi VRONTISI, E3 Modelling (E3M)
Saritha VISHWANATHAN (tbc), Indian Institute of Management (IIM)
Detlef Van VUUREN, PBL Netherlands Environmental Assessment Agency (PBL) and Utrecht University

Local Organizers

Laurent DROUET, RFF-CMCC European Institute on Economics and the Environment (EIEE), CMCC
Johannes EMMERLING, RFF-CMCC European Institute on Economics and the Environment (EIEE), CMCC

Target audience

Advanced doctoral students (e.g., from 2nd year onwards) and early career scientists (e.g., early post-docs) from any university, research institute, or other organization (private companies, government agencies, NGOs) whose research is focused on using computational methods to study environmental and climate related issues (for instance, energy system models, climate models, ecological models, epidemiological models, macroeconomic models).

Requirement: good programming knowledge in at least one of these languages: Python, GAMS, Julia, R, Matlab, C++.

Number of students

Participation will be open to a maximum of 25 individuals (both EU and non-EU participants).

Scholarships: Up to 5 scholarships are available to applicants from low and lower income countries (World bank classification). The scholarships will cover travel expenses.